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Development of a Machine-Learning Model of Short-Term Prognostic Prediction for Spinal Stenosis Surgery in Korean Patients.

Kyeong-Rae KimHyeun-Sung KimJae-Eun ParkSeung-Yeon KangSo-Young LimIl-Tae Jang
Published in: Brain sciences (2020)
This study verified that the individual characteristics of the patient and treatment characteristics during surgery enable a prediction of the patient prognosis and validate the accuracy of the approach. Further studies should be conducted to extend the scope of this research by incorporating a larger and more accurate dataset.
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